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Appendix Linear Regression Calculation: <#061> to <#064>
•Examples <#062> through <#064> all use the data input in Example
<#061>.
*1 Estimated Value (y = –3 → m = ?)
*2 Estimated Value (x = 2 → n = ?)
Commands when Quadratic Regression Calculation
(_+CX
2
) Is Selected
With quadratic regression, regression is performed in accordance
with the following model equation.
y
=
A
+
BX
+
CX
2
See Appendix <#065> for information about the calculation
formula used for each command.
Reg Sub-menu (11(STAT)7(Reg))
Select this
When you want to obtain this:
menu item:
1ARegression coefficient constant term A
2B Linear coefficient B of the regression coefficients
3C
Quadratic coefficient C of the regression
coefficients
4m1 Estimated value of x1
5m2 Estimated value of x2
6n Estimated value of y
•Sum sub-menu (sums), Var sub-menu (number of samples, mean,
standard deviation), and MinMax sub-menu (maximum value,
minimum value) operations are the same those for linear regression
calculations.
Appendix Quadratic Regression Calculation: <#066> to <#068>
•Examples <#066> through <#068> all use the data input in
Example <#061>.
Comments for Other Types of Regression
For details about the calculation formula of the command included
in each regression type, refer to the indicated calculation formulas
( Appendix <#069> to <#073>).
Statistical Calculation
Model Equation
Calculation
Type Formula
Logarithmic Regression
y = A + BlnX
<#069>
(ln X)
e Exponential Regression
y
=
Ae
BX
<#070>
(e^X)